Customer relationship management (CRM) typically involves tracking individual customer behavior over time, and using this knowledge to configure solutions precisely tailored to the customers’ and vendors’ needs. In the context of choice, this implies designing longitudinal models of choice over the breadth of the firm’s products and using them prescriptively to increase the revenues from custom...

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We consider assortment optimization problems under the multinomial logit model, where the parameters of the choice model are random. The randomness in the choice model parameters is motivated by the fact that there are multiple customer segments, each with different preferences for the products, and the segment of each customer is unknown to the firm when the customer makes a purchase. This cho...

In this paper various ensemble learning methods from machine learning and statistics are considered and applied to the customer choice modeling problem. The application of ensemble learning usually improves the prediction quality of flexible models like decision trees and thus leads to improved predictions. We give experimental results for two real-life marketing datasets using decision trees, ...

Purpose Customer experience is more critical than ever to firms’ successes and future growth opportunities. Typically measured through aggregate satisfaction scores, businesses have been criticized for oversimplifying what means. The purpose of this study provide a new perspective on management offers novel way forward customer-centric strategizing. Design/methodology/approach Mapping the curre...

Customer value is crucial in predicting customer choice in traditional consumer behavior research. However, online customer value can be different from its offline counterpart because customer value is highly context-dependent. In online retailing settings, not only the product itself, but also the web store and the Internet channel contribute value to customers. Synthesizing the research in co...

We study assortment optimization problems when customers choose under the multinomial logit model with nested considerations sets. In this choice model, there are multiple customer types and a customer of a particular type is interested in purchasing only a particular subset of products. We use the term consideration set to refer to the subset of products that a customer of a particular type is...

Predicting the class of a customer profile is a key task in marketing, which enables businesses to approach the right customer with the right product at the right time through the right channel to satisfy the customer’s evolving needs. However, due to costs, privacy and/or data protection, only the business’ owned transactional data is typically available for constructing customer profiles. Pre...

right-sided heart thrombus is a life-threatening condition that necessitates immediate therapy. detection of right-sided heart thrombus is usually via transthoracic echocardiography. generally, thrombolysis is considered a treatment of choice, but there is currently no consensus about the optimal therapeutic choice. we present a case of multiple right atrial thrombi with concurrent mobile and b...